How to Use the NetEase BUFF MCP in Google ADK

Q: Can Google ADK agents trade on NetEase BUFF automatically?

They can. You define the logic that processes getmarketitems and triggers createbuyorder based on your specific trading strategy.

Q: Is NetEase BUFF data compatible with Gemini long-context in Google ADK?

Absolutely. You can feed massive chunks of getpricehistory data into Gemini to find long-term patterns for your agent to exploit.

Q: How does Google ADK manage NetEase BUFF tool access?

You use a toolnames filter to whitelist only what the agent needs. This limits the agent's reach to just the tools you approve.

Deploy enterprise trading agents on Google ADK using real-time NetEase BUFF data and Vertex AI reasoning.

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Connect NetEase BUFF MCP to Google ADK

Create your Vinkius account to connect NetEase BUFF to Google ADK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup NetEase BUFF with Google ADK

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Scale NetEase BUFF operations with Google ADK

Connect your BigQuery data pipelines to the market. Your agent uses `get_market_items` to pull trends into your existing infrastructure for long-term analysis. Vertex AI models analyze the output from `get_price_history` to predict shifts. You get deeper reasoning than standard scripts allow.

Execute orders with Google ADK precision

The agent acts on market changes instantly. It monitors `get_sell_orders` and triggers `create_buy_order` when specific conditions are met. You control the execution flow. By filtering tools, you ensure the agent only interacts with the market exactly how you define in your configuration.

Inventory tracking for Google ADK agents

Keep your assets mapped in your cloud environment. The agent calls `get_user_inventory` to maintain a live count of your digital items. If you need to reconcile your backpack, `sync_inventory` forces an update. Your agents always operate on current data, not stale cache.

Setup guide

Set up NetEase BUFF MCP in Google ADK

Prerequisites

Python 3.10+ installed
google-adk package (pip install google-adk)
Active Vinkius subscription with a valid endpoint token

1

Install Google ADK

Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.
2

Connect via SSE transport

Use McpToolset.from_server() with SseServerParams pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create an LlmAgent

Pass the returned mcp_tools list directly to LlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required.
4

Run with any Gemini model

The agent works with any Gemini model (gemini-2.0-flash, gemini-2.5-pro, etc.). Copy the full example on the right to get started with NetEase BUFF tools in your ADK agent.

agent.py

from google.adk.agents import LlmAgent
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import SseServerParams

# Connect to the MCP via SSE
mcp_tools, exit_stack = await McpToolset.from_server(
    connection_params=SseServerParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    )
)

# Create your agent with auto-discovered tools
agent = LlmAgent(
    name="NetEase BUFF_agent",
    model="gemini-2.0-flash",
    instruction="You have access to NetEase BUFF tools via MCP.",
    tools=mcp_tools,
)

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Common questions about NetEase BUFF MCP in Google ADK

Initialize an McpToolset with your Vinkius server URL. Pass it into your LlmAgent to start calling tools from your Google Cloud environment.

They can. You define the logic that processes `get_market_items` and triggers `create_buy_order` based on your specific trading strategy.

Absolutely. You can feed massive chunks of `get_price_history` data into Gemini to find long-term patterns for your agent to exploit.

You use a tool_names filter to whitelist only what the agent needs. This limits the agent's reach to just the tools you approve.

The Vinkius sandbox environment ensures your data remains ephemeral. No logs or sensitive records persist on our infrastructure.

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